Local Binary Patterns features using matlab 'extractLBPFeatures'2019 Community Moderator ElectionHow to prepare colored images for neural networks?Data preprocessing: Should we normalise images pixel-wise?BOVW - Combine vocabulariesBag of Visual Wordswhy nobody uses matlabHigher dimension data visualization in Matlab/OctaveA noise robust Local binary patterns variantOpen image saved using python in matlabLocal Binary Patterns featuresLocal Binary features with unit16 images vs unit8 images
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Local Binary Patterns features using matlab 'extractLBPFeatures'
2019 Community Moderator ElectionHow to prepare colored images for neural networks?Data preprocessing: Should we normalise images pixel-wise?BOVW - Combine vocabulariesBag of Visual Wordswhy nobody uses matlabHigher dimension data visualization in Matlab/OctaveA noise robust Local binary patterns variantOpen image saved using python in matlabLocal Binary Patterns featuresLocal Binary features with unit16 images vs unit8 images
$begingroup$
I am trying to understand the extractLBPFeatures
function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image
img = imread('cameraman.tif');
LBP = extractLBPFeatures(img, 'Normalization' , 'none');
From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit
Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
image-classification feature-extraction matlab
$endgroup$
add a comment |
$begingroup$
I am trying to understand the extractLBPFeatures
function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image
img = imread('cameraman.tif');
LBP = extractLBPFeatures(img, 'Normalization' , 'none');
From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit
Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
image-classification feature-extraction matlab
$endgroup$
add a comment |
$begingroup$
I am trying to understand the extractLBPFeatures
function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image
img = imread('cameraman.tif');
LBP = extractLBPFeatures(img, 'Normalization' , 'none');
From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit
Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
image-classification feature-extraction matlab
$endgroup$
I am trying to understand the extractLBPFeatures
function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image
img = imread('cameraman.tif');
LBP = extractLBPFeatures(img, 'Normalization' , 'none');
From what I understand according to LBP and Uniform LBP , the LBP is like histogram that counts the frequency of the pixels, but instead of intensity, the binary code of each centre pixel (converted into a new digit), so we would get bins from 0 to 59 with a number of occurrences of that each digit
Here are the LBP features, but shouldn't the numbers be real numbers since it is counting the frequency or occurrences of each pixel?
image-classification feature-extraction matlab
image-classification feature-extraction matlab
asked Mar 27 at 12:20
gingin
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